Doctors now have a tool that helps them tailor treatments specifically to individual needs based on patient’s behavioural patterns.

CareCentra, a platform developed by Scriplogix Analytics Pvt Ltd that provides platform and tools for the US healthcare systems, studies the behaviour patterns of patients, obtained from databases in the public domain as well as paid data centres. It generates a behaviour map that would help the physicians provide their patients with a personalised prescription.

Vasant Kumar, President and CEO, Scriplogix, said, “Increasingly, in the US healthcare, there is a shift from FIFA service, where patients pay for each intervention, to value based care, where a physician is paid on per person basis rather than the visits.”

He said that in such a case, it is necessary to understand patients, which is not possible since a doctor spends hardly 12 minutes with each patient.

He said that using historic data, trends and patterns in diseases could be identified which would help in predicting cause and break them down into prescriptions. This would reduce the cost of healthcare system.

Encouraging results Designed based on behavioural analytics, the model has different interface for patients and physicians, accessed through an app or web. Patients can track their own progress and the healthcare providers can provide them feedback.

Vasant said that the beta version of the product with 10,000 patients’ information has been deployed in few hospitals and the results have been encouraging. “Our aim is to expand it to one million patients in the next three years.”

They currently cater only to the healthcare providers for prescription and they plan to extend it for other sectors for preventive healthcare.

Lack data infra “We are looking for multi-disciplinary team, that includes psychologists, mathematicians, statisticians who would help us take it further,” Vasant said.

Vasant said that though Indian healthcare market is attractive in terms of volume, they lack data infrastructure. Data is vital for the development of the system since more data implies better prediction.

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